Building AI Agents with LangGraph

def greet():
    print("Hi")
    print("This is an AI Agent Workshop")


def takeInput():
    userInput = input("Enter your symptom: ")
    print("You entered:", userInput)
    return userInput


class ChatGpt_LLM:

    def __init__(self, model_name):
        self.model_name = model_name

    def generateResponse(self, prompt):
        prompt = prompt.lower()

        if "cough" in prompt:
            return "Take cough medicine and rest."

        elif "fever" in prompt:
            return "Visit a doctor if the fever persists."

        elif "headache" in prompt:
            return "Stay hydrated and take proper rest."

        else:
            return "You are thinking too much!"


class Gemini_LLM:

    def __init__(self, model_name):
        self.model_name = model_name

    def generateResponse(self, prompt):
        return "This is a dummy response from " + self.model_name


class Practo_Tool:

    def __init__(self, name):
        self.name = name

    def useTool(self, user_input):
        print("Using tool:", self.name)
        print("Booking doctor consultation for:", user_input)


class Agent:

    def __init__(self, name):
        self.name = name

    def giveAdvice(self, symptom):

        if symptom.lower() == "cough":
            print("Take XYZ medicine")

        elif symptom.lower() == "fever":
            print("Visit a doctor")

        else:
            print("You are thinking too much!")


class AgentWithTool:

    def __init__(self, name, llm, tool):
        self.name = name
        self.llm = llm
        self.tool = tool

    def giveAdvice(self, symptom):
        response = self.llm.generateResponse(
            "Provide advice for the symptom: " + symptom
        )

        print("Advice for", symptom + ":", response)

    def takeAction(self, user_input):
        self.tool.useTool(user_input)

    def giveAdviceAndTakeAction(self, symptom):
        self.giveAdvice(symptom)
        self.takeAction(symptom)


class AutoAgent:

    def __init__(self, name, llm, tool):
        self.name = name
        self.llm = llm
        self.tool = tool

    def decideToUseTool(self, response):

        if "doctor" in response.lower():
            return True

        return False

    def execute(self, symptom):

        response = self.llm.generateResponse(
            "Provide advice for the symptom: " + symptom
        )

        print("\nAdvice for", symptom + ":", response)

        if self.decideToUseTool(response):
            print("Decision: Tool required.")
            self.tool.useTool(symptom)

        else:
            print("Decision: No tool required.")


greet()

name = "Ramesh"
age = 30

symptomList = [
    {
        "name": "Cough",
        "severity": "mild",
        "duration": "2 days",
        "priority": 1
    },
    {
        "name": "Fever",
        "severity": "high",
        "duration": "3 days",
        "priority": 2
    }
]

print("\nPatient Name:", name)
print("Age:", age)

llm = ChatGpt_LLM("gpt-4")
tool = Practo_Tool("Practo")

agent = AutoAgent("HealthAgent", llm, tool)

print("\n----- Symptom Analysis -----")

for symptom in symptomList:
    print("\nSymptom Details:", symptom)
    agent.execute(symptom["name"])

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# Write your Python code here
print("Hello, Excelrs!")

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